Inductive Machine Learning Of Heuristics For Metalevel Control Of Logic Programs
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Inductive Machine Learning Of Heuristics For Metalevel Control Of Logic Programs
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Author : E. I. Hogger
language : en
Publisher:
Release Date : 1989
Inductive Machine Learning Of Heuristics For Metalevel Control Of Logic Programs written by E. I. Hogger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with categories.
Inductive Logic Programming
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Author : Fabrizio Riguzzi
language : en
Publisher: Springer
Release Date : 2018-08-24
Inductive Logic Programming written by Fabrizio Riguzzi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-24 with Computers categories.
This book constitutes the refereed conference proceedings of the 28th International Conference on Inductive Logic Programming, ILP 2018, held in Ferrara, Italy, in September 2018. The 10 full papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data.
Machine Learning Proceedings 1992
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Author : Peter Edwards
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-06-28
Machine Learning Proceedings 1992 written by Peter Edwards and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Computers categories.
Machine Learning Proceedings 1992
Inductive Logic Programming
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Author : Celine Rouveirol
language : en
Publisher: Springer
Release Date : 2003-06-30
Inductive Logic Programming written by Celine Rouveirol and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-06-30 with Computers categories.
This book constitutes the refereed proceedings of the 11th International Conference on Inductive Logic Programming, ILP 2001, held in Strasbourg, France in September 2001. The 21 revised full papers presented were carefully reviewed and selected from 37 submissions. Among the topics addressed are data mining issues for multi-relational databases, supervised learning, inductive inference, Bayesian reasoning, learning refinement operators, neural network learning, constraint satisfaction, genetic algorithms, statistical machine learning, transductive inference, etc.
Inductive Logic Programming
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Author : Francesco Bergadano
language : en
Publisher: MIT Press
Release Date : 1996
Inductive Logic Programming written by Francesco Bergadano and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.
Although Inductive Logic Programming (ILP) is generally thought of as a research area at the intersection of machine learning and computational logic, Bergadano and Gunetti propose that most of the research in ILP has in fact come from machine learning, particularly in the evolution of inductive reasoning from pattern recognition, through initial approaches to symbolic machine learning, to recent techniques for learning relational concepts. In this book they provide an extended, up-to-date survey of ILP, emphasizing methods and systems suitable for software engineering applications, including inductive program development, testing, and maintenance. Inductive Logic Programming includes a definition of the basic ILP problem and its variations (incremental, with queries, for multiple predicates and predicate invention capabilities), a description of bottom-up operators and techniques (such as least general generalization, inverse resolution, and inverse implication), an analysis of top-down methods (mainly MIS and FOIL-like systems), and a survey of methods and languages for specifying inductive bias. Logic Programming series
Machine Learning Of Heuristics
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Author : Donald Arthur Waterman
language : en
Publisher:
Release Date : 1968
Machine Learning Of Heuristics written by Donald Arthur Waterman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Artificial intelligence categories.
First, a method of representing heuristics as production rules is developed which facilitates dynamic manipulation of the heuristics by the program embodying them. This representation technique permits separation of the heuristics from the program proper, provides clear identification of individual heuristics, is compatible with generalization schemes, and expedites the process of obtaining decisions from the system. Second, procedures are developed which permit a problem-solving program employing heuristics in production rule form to learn to improve its performance by evaluating and modifying existing heuristics and hypothesizing new ones, either during a special training process or during normal program operation. Third, the abovementioned representation and learning techniques are reformulated in the light of existing stimulus-response theories of learning, and five different S-R models of human heuristic learning in problem-solving environments are constructed and examined in detail. Experimental designs for testing these information processing models are also proposed and discussed. Finally, the feasibility of using the aforementioned representation and learning techniques in a complex problem-solving situation is demonstrated by applying these techniques to the problem of making the bet decision in draw poker. This application, involving the construction of a computer program, demonstrates that few production rules or training trials are needed to produce a thorough and effective set of heuristics for draw poker. (Author).
Inductive Logic Programming
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Author : Stan Matwin
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-02-12
Inductive Logic Programming written by Stan Matwin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-02-12 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of the 12th International Conference on Inductive Logic Programming, ILP 2002, held in Sydney, Australia in July 2002. The 22 revised full papers presented were carefully selected during two rounds of reviewing and revision from 45 submissions. Among the topics addressed are first order decision lists, learning with description logics, bagging in ILP, kernel methods, concept learning, relational learners, description logic programs, Bayesian classifiers, knowledge discovery, data mining, logical sequences, theory learning, stochastic logic programs, machine discovery, and relational pattern discovery.
Inductive Logic Programming
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Author : Stephen Muggleton
language : en
Publisher: Boom Koninklijke Uitgevers
Release Date : 1997-09-03
Inductive Logic Programming written by Stephen Muggleton and has been published by Boom Koninklijke Uitgevers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-09-03 with Computers categories.
This book constitutes the strictly refereed post-workshop proceedings of the 6th International Workshop on Inductive Logic Programming, ILP-96, held in Stockholm, Sweden, in August 1996. The 21 full papers were carefully reviewed and selected for inclusion in the book in revised version. Also included is the invited contribution "Inductive logic programming for natural language processing" by Raymond J. Mooney. Among the topics covered are natural language learning, drug design, NMR and ECG analysis, glaucoma diagnosis, efficiency measures for implementations and database interaction, program synthesis, proof encoding and learning in the absence of negative data, and least generalizations under implication ordering.
Latest Advances In Inductive Logic Programming
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Author : Stephen Muggleton
language : en
Publisher: World Scientific
Release Date : 2014-10-30
Latest Advances In Inductive Logic Programming written by Stephen Muggleton and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-30 with Computers categories.
This book represents a selection of papers presented at the Inductive Logic Programming (ILP) workshop held at Cumberland Lodge, Great Windsor Park. The collection marks two decades since the first ILP workshop in 1991. During this period the area has developed into the main forum for work on logic-based machine learning. The chapters cover a wide variety of topics, ranging from theory and ILP implementations to state-of-the-art applications in real-world domains. The international contributors represent leaders in the field from prestigious institutions in Europe, North America and Asia.Graduate students and researchers in this field will find this book highly useful as it provides an up-to-date insight into the key sub-areas of implementation and theory of ILP. For academics and researchers in the field of artificial intelligence and natural sciences, the book demonstrates how ILP is being used in areas as diverse as the learning of game strategies, robotics, natural language understanding, query search, drug design and protein modelling.
Meta Level Inference Systems
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Author : Frank Van Harmelen
language : en
Publisher: Morgan Kaufmann
Release Date : 1991
Meta Level Inference Systems written by Frank Van Harmelen and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Artificial intelligence categories.